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https://issues.apache.org/jira/browse/LUCENE-4148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13295765#comment-13295765
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Dawid Weiss commented on LUCENE-4148:
-------------------------------------
@Robert: sure we could (noting the subtle difference that the range is
inclusive on both min and max).
As for distribution... I think it should be uniform over all of the range's
values assuming r.nextDouble() yields uniform value from [0,1]? It's simple
scaling after all. I didn't really consider nuances of floating point
representation here but I think within 2^32 a double should cover everything
fairly well.
> _TestUtil should be able to generate random longs
> -------------------------------------------------
>
> Key: LUCENE-4148
> URL: https://issues.apache.org/jira/browse/LUCENE-4148
> Project: Lucene - Java
> Issue Type: Improvement
> Components: general/test
> Reporter: Adrien Grand
> Priority: Trivial
>
> It would be helpful in TestPackedInts at least, in order to generate random
> values (as a workaround, we currently generate a random int between 0 and
> {{min(Integer.MAX_VALUE, PackedInts.maxValue(bitsPerValue)}}). Moreover, it
> would help to fix {{nextInt}} for large ranges (calling {{nextInt(random,
> -10, Integer.MAX_VALUE)}} or even {{nextInt(random, 0, Integer.MAX_VALUE)}}
> currently fails because the range of values is {{> Integer.MAX_VALUE}}.
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